Riemannian sparse coding for positive definite matrices

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8691 LNCS, Issue PART 3, 2014, Pages 299-314

  Cherian, Anoop ^a   Sra, Suvrit ^b  

^a INRIA RHÔNE ALPES   (France)

^b MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

Author keywords

Region covariances; Riemannian distance; Sparse coding

Indexed keywords

CLASSIFICATION (OF INFORMATION); CODES (SYMBOLS); GEOMETRY; MATHEMATICAL MODELS;

POSITIVE-DEFINITE MATRICES; REGION COVARIANCE; RETRIEVAL PERFORMANCE; RIEMANNIAN DISTANCE; SPARSE CODING; STATE-OF-THE-ART APPROACH; STATISTICAL MEASURES; SYMMETRIC POSITIVE DEFINITE;

MATRIX ALGEBRA;

EID: 84906510973     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10578-9_20     Document Type: Conference Paper

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